A smart city is a city whose infrastructure and services have the ability to collect and share data. Smart cities data, therefore, refers to the data that make up or are generated by smart cities.
The purpose of this data is to improve city services for citizens. This includes crime detection as well as traffic, utilities, and waste management.
In essence, an effectively-run smart city keeps citizens and visitors safe while they go about their day. For instance, it can collect exact payment for utilities used while reducing waste at the city-wide level. It can even oversee traffic at the granular level with V2X technologies. Of course, the smart city model relies on individuals (for example, those with new cars enabled with V2X tech) to contribute data to the smart city ecosystem.
To create a smart city, you will need data on the city’s infrastructure, utilities and other service providers, city organizational structure, and population.
It can be hard to determine essential external smart cities data sources versus useful ones—particularly since each city has its own needs and budgets. However, some examples of essential external data sources include map/geospatial data, weather data, and traffic data.
Useful external data for smart cities may include events or open-source traffic databases like WikiRoutes. Above all, each city must make its own judgements on what data to include as useful.
Every city faces its own challenges in moving to a smart city model. However, some widely-used concerns include population increases and decreases (increases strain infrastructure whereas decreases remove revenue sources for smart cities), interoperability between various city services, and, of course, security.
Spending on smart city technology is expected to reach US$327 billion by 2025, up from US$96 billion in 2019, according to a new forecast from Frost & Sullivan.
The analyst company said an uncertain post-pandemic situation will compel cities to focus on developing collaborative, data-driven infrastructure for use in healthcare, public security services and more.
Artificial intelligence and data-driven solutions are expected to be in high demand, with growing opportunities for crowd analytics, open data dashboards and digital city services.
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Accessible Parking Spaces on roads and streets. This Dataset outlines the disabled parking Bays on streets and roads within the Dublin City Council administrative area. Fields include an street name, location and location coordinates for some 501 ‘General’ accessible parking spaces. General accessible parking spaces are aimed at Disabled Person’s Parking Card holders who may live Locally or are visiting from elsewhere. Caveat: Please note accessible parking spaces can be impacted by road works, development projects and events and as a result may be suspended/Relocated at short notice, e.g. changes may have been made to on-street parking to facilitate COVID mobility measures and disabled persons’ parking may have been relocated to an suitable alternative location. Then a small number of locations/descriptions may not be fully
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